The Practitioner's Guide to Graph Dat
(Sprache: Englisch)
"Show[s] data engineers, data scientists, and data analysts how to solve complex problems with graph databases ... [and] explore[s] templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application"--
lieferbar
versandkostenfrei
Buch (Kartoniert)
82.80 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „The Practitioner's Guide to Graph Dat “
Klappentext zu „The Practitioner's Guide to Graph Dat “
"Show[s] data engineers, data scientists, and data analysts how to solve complex problems with graph databases ... [and] explore[s] templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application"--
Autoren-Porträt von Denise Gosnell, Matthias Broecheler
Dr. Denise Gosnell's passion for examining, applying, and evangelizing the applications of graph data was ignited during her apprenticeship under Dr. Teresa Haynes and Dr. Debra Knisley during her first NSF Fellowship. This group's work was one of the earliest applications of neural networks and graph theoretic structure in predictive computational biology. Since then, Dr. Gosnell has built, published, patented, and spoke on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals.Currently, Dr. Gosnell is with DataStax where she aspires to build upon her experiences as a data scientist and graph architect. Prior to her role with DataStax, she built software solutions for and spoke at over a dozen conferences on permissioned blockchains, machine learning applications of graph analytics, and data science within the healthcare industry.
Dr. Matthias Broecheler is a technologist and entrepreneur with substantial research anddevelopment experience who is focused on disruptive software technologies and understanding complex systems. Dr. Broecheler's is known as an industry expert in graph databases, relational machine learning, and big data analysis in general. He is a practitioner of lean methodologies and experimentation to drive continuous improvement. Dr. Broecheler is the inventor of the Titan graph database and a founder of Aurelius.
Bibliographische Angaben
- Autoren: Denise Gosnell , Matthias Broecheler
- 2020, 250 Seiten, mit Abbildungen, Maße: 17,4 x 23,3 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1492044075
- ISBN-13: 9781492044079
Sprache:
Englisch
Kommentar zu "The Practitioner's Guide to Graph Dat"
Schreiben Sie einen Kommentar zu "The Practitioner's Guide to Graph Dat".
Kommentar verfassen